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MNIST database
Known as:
MNIST
, MNIST dataset
The MNIST database (Mixed National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used…
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Related topics
Related topics
21 relations
Broader (1)
Artificial intelligence
Artificial neural network
Caltech 101
Computer performance
Computer vision
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Class sparsity signature based Restricted Boltzmann Machine
A. Sankaran
,
Gaurav Goswami
,
Mayank Vatsa
,
Richa Singh
,
A. Majumdar
Pattern Recognition
2017
Corpus ID: 38633737
2016
2016
MapReduce based distributed learning algorithm for Restricted Boltzmann Machine
Chun-Yang Zhang
,
Chun-Yang Zhang
,
C. L. P. Chen
,
Dewang Chen
,
K. Ng
Neurocomputing
2016
Corpus ID: 7493772
2015
2015
FPGA implementation of a Deep Belief Network architecture for character recognition using stochastic computation
Kayode A. Sanni
,
Guillaume Garreau
,
J. Molin
,
A. Andreou
Annual Conference on Information Sciences and…
2015
Corpus ID: 12843544
Deep Neural Networks (DNNs) have proven very effective for classification and generative tasks, and are widely adapted in a…
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2015
2015
Improving Back-Propagation by Adding an Adversarial Gradient
Arild Nøkland
arXiv.org
2015
Corpus ID: 17078450
The back-propagation algorithm is widely used for learning in artificial neural networks. A challenge in machine learning is to…
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Review
2014
Review
2014
A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet)
Mohammad Ali Keyvanrad
,
M. Homayounpour
arXiv.org
2014
Corpus ID: 15708309
Nowadays, this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep…
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2008
2008
A Massively Parallel Digital Learning Processor
H. Graf
,
S. Cadambi
,
+4 authors
S. Chakradhar
Neural Information Processing Systems
2008
Corpus ID: 8743016
We present a new, massively parallel architecture for accelerating machine learning algorithms, based on arrays of vector…
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2006
2006
Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data
Yi Guo
,
Junbin Gao
,
P. Kwan
Australian Conference on Artificial Intelligence
2006
Corpus ID: 9245997
In this paper, we propose the Kernel Laplacian Eigenmaps for nonlinear dimensionality reduction. This method can be extended to…
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2005
2005
Efficient performance estimate for one-class support vector machine
Quang-Anh Tran
,
Xing Li
,
Haixin Duan
Pattern Recognition Letters
2005
Corpus ID: 46524231
Highly Cited
2002
Highly Cited
2002
Fast Pattern Selection for Support Vector Classifiers
Hyunjung Shin
,
Sungzoon Cho
Pacific-Asia Conference on Knowledge Discovery…
2002
Corpus ID: 15586209
SVMs tend to take a very long time to train with a large data set. If "redundant" patterns are identified and deleted in pre…
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Highly Cited
2001
Highly Cited
2001
A nonlinear neural network model of mixture of local principal component analysis: application to handwritten digits recognition
Bailing Zhang
,
M. Fu
,
Hong Yan
Pattern Recognition
2001
Corpus ID: 2500168
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